Young‐wook Jun

13.8k total citations · 8 hit papers
65 papers, 11.7k citations indexed

About

Young‐wook Jun is a scholar working on Materials Chemistry, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Young‐wook Jun has authored 65 papers receiving a total of 11.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Materials Chemistry, 19 papers in Biomedical Engineering and 18 papers in Molecular Biology. Recurrent topics in Young‐wook Jun's work include Quantum Dots Synthesis And Properties (26 papers), Advanced biosensing and bioanalysis techniques (15 papers) and Nanoparticle-Based Drug Delivery (13 papers). Young‐wook Jun is often cited by papers focused on Quantum Dots Synthesis And Properties (26 papers), Advanced biosensing and bioanalysis techniques (15 papers) and Nanoparticle-Based Drug Delivery (13 papers). Young‐wook Jun collaborates with scholars based in South Korea, United States and Italy. Young‐wook Jun's co-authors include Jinwoo Cheon, Jin‐sil Choi, Jae‐Hyun Lee, Yong‐Min Huh, Jin‐Suck Suh, Ho‐Taek Song, Sung Jun Kim, Jeon‐Soo Shin, A. Paul Alivisatos and Kyung‐Sup Kim and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Young‐wook Jun

64 papers receiving 11.5k citations

Hit Papers

Artificially engineered magnetic nanoparticles for ultra-... 2002 2026 2010 2018 2006 2005 2006 2008 2005 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Young‐wook Jun South Korea 39 7.1k 3.9k 3.4k 2.6k 2.4k 65 11.7k
Hyon Bin Na South Korea 37 6.5k 0.9× 3.7k 0.9× 3.3k 1.0× 2.0k 0.8× 1.9k 0.8× 70 10.5k
Teresa Pellegrino Italy 60 8.3k 1.2× 7.2k 1.8× 5.3k 1.6× 2.2k 0.8× 2.5k 1.0× 148 15.9k
Jongnam Park South Korea 41 8.7k 1.2× 3.8k 1.0× 3.1k 0.9× 4.1k 1.6× 3.8k 1.6× 117 14.5k
Kwangjin An South Korea 49 8.6k 1.2× 4.0k 1.0× 3.1k 0.9× 3.8k 1.5× 1.9k 0.8× 119 13.4k
Nohyun Lee South Korea 47 7.6k 1.1× 7.6k 1.9× 5.2k 1.5× 1.6k 0.6× 1.9k 0.8× 88 15.0k
Chen‐Sheng Yeh Taiwan 59 5.0k 0.7× 5.7k 1.5× 2.5k 0.7× 933 0.4× 1.3k 0.5× 186 11.0k
Quentin A. Pankhurst United Kingdom 45 4.3k 0.6× 6.2k 1.6× 3.7k 1.1× 2.4k 0.9× 1.2k 0.5× 227 12.7k
Luce Vander Elst Belgium 46 6.7k 1.0× 4.0k 1.0× 4.3k 1.3× 1.8k 0.7× 619 0.3× 215 12.8k
Xiaolian Sun China 47 4.5k 0.6× 4.8k 1.2× 2.4k 0.7× 2.5k 1.0× 1.5k 0.6× 110 10.5k
Je‐Geun Park South Korea 49 9.5k 1.3× 2.9k 0.7× 2.8k 0.8× 2.8k 1.1× 3.0k 1.2× 193 15.0k

Countries citing papers authored by Young‐wook Jun

Since Specialization
Citations

This map shows the geographic impact of Young‐wook Jun's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Young‐wook Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young‐wook Jun more than expected).

Fields of papers citing papers by Young‐wook Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young‐wook Jun. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Young‐wook Jun. The network helps show where Young‐wook Jun may publish in the future.

Co-authorship network of co-authors of Young‐wook Jun

This figure shows the co-authorship network connecting the top 25 collaborators of Young‐wook Jun. A scholar is included among the top collaborators of Young‐wook Jun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Young‐wook Jun. Young‐wook Jun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lin, Zhi, Wayne Ngo, Yu‐Ting Chou, et al.. (2025). Temporal photoproximity labeling of ligand-activated EGFR neighborhoods using MultiMap. Nature Chemical Biology. 22(2). 192–204.
2.
Park, Mansoo, Yongjun Lim, Jae‐Hyun Lee, et al.. (2023). Hydrogel Magnetomechanical Actuator Nanoparticles for Wireless Remote Control of Mechanosignaling In Vivo. Nano Letters. 23(11). 5227–5235. 14 indexed citations
3.
White, Matthew J., et al.. (2023). Notch1 cortical signaling regulates epithelial architecture and cell–cell adhesion. The Journal of Cell Biology. 222(12). 4 indexed citations
4.
Meher, Niranjan, Kyounghee Seo, Sinan Wang, et al.. (2021). Synthesis and Preliminary Biological Assessment of Carborane-Loaded Theranostic Nanoparticles to Target Prostate-Specific Membrane Antigen. ACS Applied Materials & Interfaces. 13(46). 54739–54752. 19 indexed citations
6.
Seo, Daeha, Kaden M. Southard, Ji-wook Kim, et al.. (2016). A Mechanogenetic Toolkit for Interrogating Cell Signaling in Space and Time. Cell. 165(6). 1507–1518. 133 indexed citations
7.
Mabray, Marc C., Sravani Kondapavulur, Derek Liu, et al.. (2015). In Vitro Capture of Small Ferrous Particles with a Magnetic Filtration Device Designed for Intravascular Use with Intraarterial Chemotherapy: Proof-of-Concept Study. Journal of Vascular and Interventional Radiology. 27(3). 426–432.e1. 8 indexed citations
8.
Seo, Daeha, Justin Farlow, Kaden M. Southard, Young‐wook Jun, & Zev J. Gartner. (2014). Production and Targeting of Monovalent Quantum Dots. Journal of Visualized Experiments. e52198–e52198. 2 indexed citations
9.
Lasater, Elisabeth A., Cheryl Tajon, Juan A. Osés-Prieto, et al.. (2013). MEK-Dependent Negative Feedback Underlies BCR–ABL-Mediated Oncogene Addiction. Cancer Discovery. 4(2). 200–215. 27 indexed citations
10.
Jun, Young‐wook, Jae‐Hyun Lee, & Jinwoo Cheon. (2008). Chemical Design of Nanoparticle Probes for High‐Performance Magnetic Resonance Imaging. Angewandte Chemie International Edition. 47(28). 5122–5135. 729 indexed citations breakdown →
11.
Jun, Young‐wook, et al.. (2008). Nanoscaling Laws of Magnetic Nanoparticles and Their Applicabilities in Biomedical Sciences. Accounts of Chemical Research. 41(2). 179–189. 700 indexed citations breakdown →
12.
Park, Jong‐Il, Young‐wook Jun, Jin‐sil Choi, & Jinwoo Cheon. (2007). Highly crystalline anisotropic superstructures via magnetic field induced nanoparticle assembly. Chemical Communications. 5001–5001. 43 indexed citations
13.
Jun, Young‐wook, Jung-tak Jang, & Jinwoo Cheon. (2007). Magnetic Nanoparticle Assisted Molecular MR Imaging. Advances in experimental medicine and biology. 620. 85–106. 16 indexed citations
14.
Jun, Young‐wook, Jin‐sil Choi, & Jinwoo Cheon. (2006). Heterostructured magnetic nanoparticles: their versatility and high performance capabilities. Chemical Communications. 1203–1214. 225 indexed citations
15.
Lee, Hee‐Yoon, et al.. (2006). Selective catalytic activity of ball-shaped Pd@MCM-48 nanocatalysts. Chemical Communications. 1325–1325. 30 indexed citations
16.
Lee, Jae‐Hyun, Yong‐Min Huh, Young‐wook Jun, et al.. (2006). Artificially engineered magnetic nanoparticles for ultra-sensitive molecular imaging. Nature Medicine. 13(1). 95–99. 1549 indexed citations breakdown →
17.
Lee, Jae‐Hyun, Young‐wook Jun, Soo‐In Yeon, Jeon‐Soo Shin, & Jinwoo Cheon. (2006). Dual‐Mode Nanoparticle Probes for High‐Performance Magnetic Resonance and Fluorescence Imaging of Neuroblastoma. Angewandte Chemie International Edition. 45(48). 8160–8162. 305 indexed citations
18.
Jun, Young‐wook. (2006). Nanocrystals and Their Biomedical Applications. Bulletin of the Korean Chemical Society. 27(7). 961–971. 20 indexed citations
19.
Kim, Beomjoon, et al.. (2005). Silver(I) ion selective ionophores containing dithiocarbamoyl moieties on steroid backbone. Talanta. 66(3). 794–804. 25 indexed citations
20.
Park, Jong-Il, et al.. (2002). Superlattice and Magnetism Directed by the Size and Shape of Nanocrystals. ChemPhysChem. 3(6). 543–543. 70 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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